Building Sustainable Software with Java
summary
Claims concrete savings and tools: global tech uses ~7% of electricity with data centers ~2% and streaming emits 55–100 g CO2 per hour; optimizing JVM choices like G1 GC ZGC Shenandoah Parallel Epsilon and GC tuning with -Xmx flags drops a sample run from >20s to 12.7s, and refactoring to primitives cuts 5.6s to 1.7s. Measure with JFR VisualVM Java Mission Control and macOS powermetrics, track carbon with Green Software Foundation carbon aware SDK Drace Prometheus Grafana, and expect reported cases of ~30–35% energy reduction and a claimed 2.7–3.8M cars equivalent.
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chapters (19)
- 0:00Introduction
- 1:21Energy cost of inefficient code
- 3:06Green programming in Java
- 3:48Optimizing garbage collection
- 5:33Tuning garbage collection to reduce impact
- 8:26JIT compilation boost
- 11:19Resource usage analysis
- 13:03Measuring energy consumption
- 14:31Reducing idle power
- 17:43Sustainable algorithms
- 19:31Green Java in cloud
- 20:33Kubernetes autoscaling
- 22:19Monitoring energy use
- 23:24Green Java success stories
- 25:11Performance vs sustainability
- 25:32Small sustainable steps
- 26:14Advocating green software
- 26:57Global impact of optimized code
- 27:19Q&A
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